Document Type
Article
Publication Date
2017
DOI
10.1515/mlbmb-2017-0003
Publication Title
Molecular Based Mathematical Biology
Volume
5
Issue
1
Pages
31-39
Abstract
Cryo-electron microscopy (Cryo-EM) is a powerful technique to produce 3-dimensional density maps for large molecular complexes. Although many atomic structures have been solved from cryo-EM density maps, it is challenging to derive atomic structures when the resolution of density maps is not sufficiently high. Geometrical shape representation of secondary structural components in a medium-resolution density map enhances modeling of atomic structures. We compare two methods in producing surface representation of the β-sheet component of a density map. Given a 3-dimensional volume of β-sheet that is segmented from a density map, the performance of a polynomial fitting was compared with that of an iterative Bézier fitting. The results suggest that the iterative Bézier fitting is more suitable for β-sheets, since it provides more accurate representation of the corners that are naturally twisted in a β-sheet.
Original Publication Citation
Poteat, M., & He, J. (2017). An iterative Bézier method for fitting beta-sheet component of a cryo-EM density map. Molecular Based Mathematical Biology, 5(1), 31-39. https://doi.org/10.1515/mlbmb-2017-0003
Repository Citation
Poteat, M., & He, J. (2017). An iterative Bézier method for fitting beta-sheet component of a cryo-EM density map. Molecular Based Mathematical Biology, 5(1), 31-39. https://doi.org/10.1515/mlbmb-2017-0003
Included in
Biological Phenomena, Cell Phenomena, and Immunity Commons, Graphics and Human Computer Interfaces Commons
Comments
© 2017 Michael Poteat and Jing He, licensee De Gruyter Open.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.